Pole-filtered cepstral mean subtraction. - Devang Naik (ICASSP, 1995)

A novel word clustering algorithm based on latent semantic analysis. - Jerome R. Bellegarda; John W. Butzberger; Yen-Lu Chow; Noah B. Coccaro; Devang Naik (ICASSP, 1996)

Using talker location to detect spurious utterances in desktop command and control. - Devang Naik (ICASSP, 1997)

Design and ccollection of a corpus of polyphones and prosodic contexts for speech synthesis research and development. - Kim E. A. Silverman; Victoria Anderson; Jerome R. Bellegarda; Kevin A. Lenzo; Devang Naik (EUROSPEECH, 1999)

Language-independent, short-enrollment voice verification over a far-field microphone. - Jerome R. Bellegarda; Devang Naik; Matthias Neeracher; Kim E. A. Silverman (ICASSP, 2001)

Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice. - Vikramjit Mitra; Sue Booker; Erik Marchi; David Scott Farrar; Ute Dorothea Peitz; Bridget Cheng; Ermine Teves; Anuj Mehta; Devang Naik (INTERSPEECH, 2019)

Neural Text-to-Speech Adaptation from Low Quality Public Recordings. - Qiong Hu 003; Erik Marchi; David Winarsky; Yannis Stylianou; Devang Naik; Sachin Kajarekar (SSW, 2019)

Lattice-Based Improvements for Voice Triggering Using Graph Neural Networks. - Pranay Dighe; Saurabh Adya; Nuoyu Li; Srikanth Vishnubhotla; Devang Naik; Adithya Sagar; Ying Ma; Stephen Pulman; Jason D. Williams (ICASSP, 2020)

Detecting Emotion Primitives from Speech and Their Use in Discerning Categorical Emotions. - Vasudha Kowtha; Vikramjit Mitra; Chris Bartels; Erik Marchi; Sue Booker; William Caruso; Sachin Kajarekar; Devang Naik (ICASSP, 2020)

Multi-Task Learning for Speaker Verification and Voice Trigger Detection. - Siddharth Sigtia; Erik Marchi; Sachin Kajarekar; Devang Naik; John Bridle (ICASSP, 2020)

Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation. - Rishika Agarwal; Xiaochuan Niu; Pranay Dighe; Srikanth Vishnubhotla; Sameer Badaskar; Devang Naik (INTERSPEECH, 2020)

Self-supervised Learning of Visual Speech Features with Audiovisual Speech Enhancement. - Zakaria Aldeneh; Anushree Prasanna Kumar; Barry-John Theobald; Erik Marchi; Sachin Kajarekar; Devang Naik; Ahmed Hussen Abdelaziz (CoRR, 2020)

Double-Talk Robust Multichannel Acoustic Echo Cancellation Using Least-Squares MIMO Adaptive Filtering: Transversal, Array, and Lattice Forms. - Sarmad Malik; Jason Wung; Joshua Atkins; Devang Naik (IEEE Trans. Signal Process., 2020)

Robust Multichannel Linear Prediction for Online Speech Dereverberation Using Weighted Householder Least Squares Lattice Adaptive Filter. - Jason Wung; Ante Jukic; Sarmad Malik; Mehrez Souden; Ramin Pichevar; Joshua Atkins; Devang Naik; Alex Acero (IEEE Trans. Signal Process., 2020)

On The Role of Visual Cues in Audiovisual Speech Enhancement. - Zakaria Aldeneh; Anushree Prasanna Kumar; Barry-John Theobald; Erik Marchi; Sachin Kajarekar; Devang Naik; Ahmed Hussen Abdelaziz (ICASSP, 2021)

Knowledge Transfer for Efficient on-Device False Trigger Mitigation. - Pranay Dighe; Erik Marchi; Srikanth Vishnubhotla; Sachin Kajarekar; Devang Naik (ICASSP, 2021)

Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric. - Ashish Shrivastava 001; Arnav Kundu; Chandra Dhir; Devang Naik; Oncel Tuzel (ICASSP, 2021)

I see what you hear: a vision-inspired method to localize words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Minsik Cho; Aman Chadha; Ashish Shrivastava 001; Oncel Tuzel; Devang Naik (CoRR, 2022)

HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. - Arnav Kundu; Mohammad Samragh; Minsik Cho; Priyanka Padmanabhan; Devang Naik (ICASSP, 2023)

I See What You Hear: A Vision-Inspired Method to Localize Words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Aman Chadha; Ashish Srivastava; Minsik Cho; Oncel Tuzel; Devang Naik (ICASSP, 2023)

Matching Latent Encoding for Audio-Text based Keyword Spotting. - Kumari Nishu; Minsik Cho; Devang Naik (INTERSPEECH, 2023)

PDP: Parameter-free Differentiable Pruning is All You Need. - Minsik Cho; Saurabh Adya; Devang Naik (NeurIPS, 2023)

Weight subcloning: direct initialization of transformers using larger pretrained ones. - Mohammad Samragh; Mehrdad Farajtabar; Sachin Mehta; Raviteja Vemulapalli; Fartash Faghri; Devang Naik; Oncel Tuzel; Mohammad Rastegari (CoRR, 2023)

Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization. - Mohammad Samragh; Seyed-Iman Mirzadeh; Keivan Alizadeh-Vahid; Fartash Faghri; Minsik Cho; Moin Nabi; Devang Naik; Mehrdad Farajtabar (ENLSP, 2024)

Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder. - Alexandre Bittar; Paul Dixon; Mohammad Samragh; Kumari Nishu; Devang Naik (ICASSP, 2024)

Flexible Keyword Spotting Based on Homogeneous Audio-Text Embedding. - Kumari Nishu; Minsik Cho; Paul Dixon; Devang Naik (ICASSP, 2024)

KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation. - Minsik Cho; Mohammad Rastegari; Devang Naik (ICML, 2024)

RepCNN: Micro-sized, Mighty Models for Wakeword Detection. - Arnav Kundu; Prateeth Nayak; Priyanka Padmanabhan; Devang Naik (INTERSPEECH, 2024)

eDKM: An Efficient and Accurate Train-Time Weight Clustering for Large Language Models. - Minsik Cho; Keivan Alizadeh-Vahid; Qichen Fu; Saurabh Adya; Carlo C. del Mundo; Mohammad Rastegari; Devang Naik; Peter Zatloukal (IEEE Comput. Archit. Lett., 2024)

RepCNN: Micro-sized, Mighty Models for Wakeword Detection. - Arnav Kundu; Prateeth Nayak; Hywel Richards; Priyanka Padmanabhan; Devang Naik (CoRR, 2024)

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. - Mohammad Samragh; Iman Mirzadeh; Keivan Alizadeh-Vahid; Fartash Faghri; Minsik Cho; Moin Nabi; Devang Naik; Mehrdad Farajtabar (CoRR, 2024)

An Efficient and Streaming Audio Visual Active Speaker Detection System. - Arnav Kundu; Yanzi Jin; Mohammad Hossein Sekhavat; Maxwell Horton; Danny Tormoen; Devang Naik (ICASSP, 2025)

SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting. - Kumari Nishu; Minsik Cho; Devang Naik (ICASSP, 2025)

M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference. - Nikhil Bhendawade; Mahyar Najibi; Devang Naik; Irina Belousova (CoRR, 2025)

From Dense to Dynamic: Token-Difficulty Driven MoEfication of Pre-Trained LLMs. - Kumari Nishu; Sachin Mehta; Samira Abnar; Mehrdad Farajtabar; Maxwell Horton; Mahyar Najibi; Moin Nabi; Minsik Cho; Devang Naik (CoRR, 2025)

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential. - Mohammad Samragh; Arnav Kundu; David Harrison; Kumari Nishu; Devang Naik; Minsik Cho; Mehrdad Farajtabar (CoRR, 2025)